US6240399B1 - System and method for optimizing investment location - Google Patents
System and method for optimizing investment location Download PDFInfo
- Publication number
- US6240399B1 US6240399B1 US09/346,602 US34660299A US6240399B1 US 6240399 B1 US6240399 B1 US 6240399B1 US 34660299 A US34660299 A US 34660299A US 6240399 B1 US6240399 B1 US 6240399B1
- Authority
- US
- United States
- Prior art keywords
- tax
- investment
- taxable
- accounts
- amount
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Lifetime
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/04—Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/06—Asset management; Financial planning or analysis
Definitions
- the present invention is directed towards financial analysis, and more particularly towards investment location optimization software.
- Numerical calculator optimization techniques have been used to attempt to solve optimization problems and are now available in most advanced spreadsheet programs. But these techniques have limitations. For example, they lend themselves to optimizing independent numeric inputs from which a desired output is calculated. They are less capable of optimizing problems involving sequencing or scheduling. Also, they are “exploitation” and not “exploration” techniques. This means that given a reasonable starting solution (a set of input values), the numeric optimization will converge to a near optimal solution. However, they are not capable of exploring areas of space where good solutions exist. This is because numerical optimization techniques can often get trapped in local optimal solutions. Another limitation of numerical optimization techniques is that they are not suitable if the outcome cannot be explicitly calculated. For example, when the outcome is a subjective assessment by an expert or an observed performance.
- the present invention comprises an investment location optimizer. Once an investor or investment advisor determines the appropriate asset allocation (investment mix) and that there are both taxable accounts and tax-deferred investment accounts, the invention will optimize/maximize the investor's ending after-tax asset accumulation, which is the objective of all investors. This is accomplished by allocating the chosen investment vehicles between the taxable and tax-deferred accounts in an optimum way.
- the present invention includes a system for determining an investment strategy for an entity with assets in taxable and tax-deferred accounts. It includes an account information input component, to accept information regarding the assets in the taxable and tax-deferred accounts for the entity; an investment selection input component, to accept information regarding a plurality of investments, including an indication of a percentage amount to invest in each of the plurality of investments; an account amount selection component, to select an amount to invest from the taxable accounts and tax-deferred accounts in the plurality of investments which substantially matches the indication of a percentage amount to invest in each of the plurality of investments; and a time horizon input component, to accept an indication of a time horizon.
- a return on investment calculation component calculates a return on investment for the entity based on the information regarding the assets, the information regarding a plurality of investments, the indication of a percentage amount, the selected amount to invest from the taxable and the tax-deferred accounts, and the indication of a time horizon.
- the account amount selection component selects an amount from the taxable and tax-deferred accounts in order to produce a maximal return on investment for the entity at the time horizon.
- the account amount selection component randomly selects amounts from the taxable and tax-deferred accounts
- the return investment calculation component calculates a return for the entity based on the randomly selected amounts.
- the steps of randomly selecting amounts from the taxable and tax-deferred accounts and calculating a return are performed a plurality of times, and the system outputs selected amounts from the taxable and tax-deferred accounts which produce a maximal return.
- the account amount selection component selects an amount from the taxable and tax-deferred accounts using Genetic Algorithms (GA) in order to produce a maximal return on investment for the entity at the time horizon.
- GA Genetic Algorithms
- This embodiment includes a chromosome structure, for use with the Genetic Algorithms, wherein the chromosome structure includes a plurality of values, each value being an indication of an amount from the tax-deferred accounts to invest in a selected one of the plurality of investments.
- Advantages of the present invention include optimization of investment outcome when there are two basic kinds of investor accounts: 1) taxable accounts and 2) tax-deferred accounts such as IRA and 401(k) accounts.
- tax-deferred accounts such as IRA and 401(k) accounts.
- other kinds of investor accounts with their own unique tax characteristics that can be incorporated into the present invention. This would provide a broader and far more complex selection optimization.
- the present invention rose from the need to help make optimal decisions for clients and investors.
- the total asset accumulation in an investor's portfolio over time will vary dramatically depending on the decision of which account to invest in which asset class.
- the inventors are able to increase the terminal portfolio value typically between 5 and 40% with no increase in risk to the investor.
- the risk lies with the asset allocation and specific investments selection not where they are located. All relevant variables have been incorporated into the present invention in order to truly optimize the end period accumulations.
- the illustrative embodiment of the present invention comprises a hybrid GA-Heuristic search strategy.
- the hybrid approach is reflected both in the implementation of the GAs and the methodology of applying it to solve problems.
- Fact gathering 20 includes setting goals, identifying risk tolerance, making retirement projections, agreeing on the appropriate time horizons and identifying the available investments.
- Asset Allocation 22 The next step is Asset Allocation 22 . Studies show that 50 to 90% of total pre-tax returns are determined by asset allocation. Given the results of the fact finding phase 20 , determining the appropriate mix between stocks (domestic, international, small cap, large cap), bonds (short-term, long-term, domestic, international, tax exempt), and cash which makes the most sense for them is among the most important decisions in the investment process.
- Step of Investment Selection 24 investors choose among the available investment options in each asset category to fund the asset allocation chosen in Step 22 .
- the investor will select from the available mutual funds or individual stock, bonds and money market instruments.
- Account Selection 26 which includes determining which accounts (retirement/tax deferred, non-retirement/taxable, children, trusts, etc.) are best suited for the investments and asset allocation determined in Steps 22 and 24 .
- accounts are all taxed differently. Accordingly, this decision is primarily tax motivated with the objective of maximizing the after-tax accumulations over time.
- Step 26 there is no standard system or formula for allocation. It is here that investors and financial advisors need to make the complex decisions about in which account to place which investment. There are a great number of variables which impact the account selection decision. They include the time horizon, current and future tax brackets (both state and federal), current and future capital gains rates, relative spread between bonds (municipals, federal, corporate), portfolio turnover, investment yields and appreciation rates, and relative proportion of overall portfolio in account types (retirement, non-retirement, children, trusts).
- the illustrative embodiment of the present invention simultaneously takes into account the following variables: Federal taxes including income taxes (8 brackets) and capital gains taxes (3 brackets); States taxes including income and capital gains taxes (different in all 50 states and many have multiple brackets); Investment characteristics of numerous asset classes which are defined in terms of income characteristics (including taxable, tax-exempt, growth characteristics and turnover); time horizon (in years); before and after liquidation values; proportion of assets in taxable and tax-deferred accounts; and relevant investment mix.
- Advantages of the present invention include a marked level of improvement in outcome from the application of the present invention. Typically the improvement is in the 5-40% range over 20 years. This is significant, and remember, it is a complete freebie. This is, the end result of the investment process is improved significantly, with no increase in risk as it is the same investments just in better locations from a tax stand point. And, as previously discussed, the means of achieving an optimum solution is not available by any other means.
- FIG. 1 is an outline of steps in an investment process
- FIG. 2 is a block flow diagram generally showing information inflow and outflow to a system according to the present invention
- FIG. 3 is a block diagram showing a more detailed flow of information as compared to FIG. 2;
- FIG. 4 is a block diagram showing an investment optimizing component according to one embodiment of the present invention.
- FIG. 5 is a block diagram of a computer system according to one embodiment of the present invention.
- FIG. 6 is a user interface input screen for entering entity data according to an illustrative embodiment of the present invention.
- FIG. 7 is a user interface input screen for entering investment data according to an illustrative embodiment of the present invention.
- FIG. 8 is a user interface output screen for displaying results according to an illustrative embodiment of the present invention.
- FIG. 1 outlines steps used in planning an investment strategy for an entity, such as a person.
- Fact gathering 20 includes setting goals, identifying risk tolerance, making retirement projections, agreeing on the appropriate time horizons and identifying the available investments.
- the next step is Asset Allocation 22 .
- Studies show that 50 to 90% of total pre-tax returns are determined by asset allocation. Given the results of the fact finding phase 20 , determining the appropriate mix between stocks (domestic, international, small cap, large cap), bonds (short-term, long-term, domestic, international, tax exempt), and cash which makes the most sense for them is among the most important decisions in the investment process.
- Step of Investment Selection 24 investors choose among the available investment options in each asset category to fund the asset allocation chosen in Step 22 .
- the investor will select from the available mutual funds or individual stock, bonds and money market instruments.
- Account Selection 26 which includes determining which accounts (retirement/tax deferred, non-retirement/taxable, children, trusts, etc.) are best suited for the investments and asset allocation determined in Steps 22 and 24 . This decision is primarily tax motivated with the objective of maximizing the after tax accumulations over time.
- Step 26 there is no standard system or formula for allocating investment funds from taxable and tax-deferred accounts. It is here that investors and financial advisors need to make the complex decisions about in which account to place which investment. There are a great number of variables which impact the account selection decision. They include the time horizon, current and future tax brackets (both state and federal), current and future capital gains rates, relative spread between bonds (municipals, federal, corporate), portfolio turnover, investment yields and appreciation rates, and relative proportion of overall portfolio in account types (retirement, non-retirement, children, trusts).
- FIG. 2 illustrates an asset allocation optimizer 36 according to the present invention.
- An illustrative embodiment of the present invention starts with a predetermined Asset Allocation 30 .
- This includes taxable assets and accounts 32 and tax deferred assets and accounts 34 .
- these asset allocations 30 are pre-divided into various categories.
- an entity such as a person or business entity
- the types of accounts for which the present invention is applicable include Taxable, IRA, 401K, Keough, Roth IRAs; trust accounts; foundations; corporate charitable trust accounts; children's accounts.
- a feature of the present invention is determining which accounts to use for each investment that results in a maximum after-tax accumulation.
- These predetermined asset allocations 30 are provided as input information into an investment location Optimizer 36 .
- Other information input to the investment location Optimizer 36 includes investment characteristics 38 .
- investment characteristics 38 include details about the various selected or potential investments, including ordinary income, yield, percent tax, long term capital gain distributions, unrealized appreciation, and investment turnover. This investment characteristic information 38 is specific to each investment. Such information may be stored in a separate database, or entered specifically for a specific entity.
- Other information entered into the investment location Optimizer 36 includes tax rates and time horizon information 40 which generally is peculiar to the individual entity. Such individual information 40 includes the federal income tax rate, state income tax rate, capital gains tax, tax deferred investments (accounts) and total investments for the individual. Other information includes the time horizon which is the period of which to determine the maximal growth.
- the investment location Optimizer 36 FIG. 2, then determines an optimized solution which is an output 42 in the form of an optimized accumulation 44 . This information is similar to the original investment location information 30 , except that now the amount of taxable investment accounts 46 and tax deferred investment accounts 48 are selected to produce an optimal result at the end of the time horizon. Other information, including the projected investment value at the time horizon, and percentage improvement, may be output, as will be discussed below.
- the investment location optimizer 36 includes two major components in the illustrative embodiment of the present invention.
- An account amount selection component 50 receives as input the predetermined investment location 30 and works to adjust the proper investment location to produce an optimal solution.
- Another component is the return on investment calculating component 52 .
- This return on investment calculating component 52 performs calculations to determine the value of the various investment over the time horizon. Therefore this return on investment calculating component 52 accepts input of the investment characteristics 38 as well as information from the account amount selection component 50 as shown by arrow 54 .
- the return on the investment calculating component 52 performs standard calculations for determining growth based on interest, turnover, and other features of an investment, including the tax characteristics.
- the information returned by the return on investment calculating component 52 is provided as feedback 56 to the account amount selection component 50 , thereby allowing it to receive feedback on various optimizations and determine an optimal solution.
- the output 42 from the account amount selection component 50 is in the form of the optimized investment locations which are returned to the user of the system.
- a computer system for running an embodiment the present invention is shown in FIG. 5.
- a user may interact with the system using a workstation or other display, to input information and run the system.
- a computer system including a user interface application interacts with the user, and stores information regarding accounts and assets in a database.
- the optimization system interacts with the database to retrieve and store information.
- the optimization system also may interact directly to the user, either directly or through the user interface application or system.
- the asset allocation optimizer 36 uses Monte Carlo simulation to determine an optimized allocation.
- the account amount selection component 50 generates ranges of percentages of taxable vs. tax-deferred accounts to invest in particular investments. Then the system randomly selects percentages within those ranges, whereupon the return on investment calculating component 52 determines the results based on the randomly selected percentages. This cycle is repeated many times, with the system remembering the best result.
- the selection of random percentages can be adjusted depending upon the selection process, for example random selections within the range can be uniform (pseudo-random), or skewed, such as logarithmic over the range, or over a normal distribution curve.
- An advantage of the Monte Carlo technique is that it can also be applied to variable yields for various investments.
- an investment stock may have a projected yield, but more likely it will vary over time.
- the present invention allows investment yield (and other parameters) to be entered as a range, instead of as a specific return. This range can be defined so that random values selected within the range are even distribution, bell curve, stepped, skewed, etc.
- results can include a “best case” and “worst case” result, which allows for more prudent allocation decisions.
- the Monte Carlo technique may be used alone, or in combination with other optimization techniques, including the GA (Genetic Algorithm) embodiment described below.
- the Monte Carlo technique is useful for selecting randomly distributed samples used to “seed” the gene pool for GA fitness and cross-breeding evaluations. In other words, to improve the account selection starting point of the present invention.
- the illustrative embodiment the present invention uses Genetic Algorithms (GA) to help select an optimized investment allocation.
- GAs are techniques for solving optimization problems inspired by the theory of evolution and biogenetics. These algorithms are useful for exploring large search spaces for optimal or near optimal solutions.
- the basics of a genetic algorithm are:
- This string is called a chromosome and the parameters within it are called genes.
- the two basic steps in developing solutions using GA's are an appropriate representation of the problem and a method of assessing the effectiveness (cost) of a solution.
- the easiest representation of a problem for GA implementation is as a string of numbers. Each number is represented by a gene that can be constrained by the minimum and maximum values it can take.
- a cost function is defined which derives a value for the cost of the solution from a given set of gene values. In such a representation, each gene represents a different numeric parameter of the solution.
- a chromosome can be used to represent a sequence of jobs which requires optimization. In such a case the number of genes will equal the number of jobs to be sequenced and the value of each gene will be unique and range from 1 to the number of tasks.
- the genetic structure used in the illustrative embodiments a single non-sequence chromosome, named TaxDeferred with a variable number of genes, A CTD (Asset Class Tax Deferred).
- Each asset class is represented as a gene containing the dollar value in tax deferred accounts on this chromosome. That is, the GA component generates values for the amount in tax deferred accounts for all asset classes, and the cost function written for this application computes both the amount in taxable accounts and the total value for that allocation to taxable and tax deferred accounts.
- There is applied a sum constraint which requires that the total tax deferred dollars in all genes must add up to the total tax deferred dollars specified by the user.
- the fitness is the measure of the value at the time horizon.
- the initial chromosome is initialized to a set of values that represent the current value in tax deferred accounts in order to provide a reasonable starting point for the optimization.
- the illustrative embodiment converges to an optimal solution within one generation (initial chromosome “pool” created by mutation, and a generation “pool” including crossover).
- Inperiments using two and seven generations showed some improvement over using one generation, with a tradeoff in increased time for computation. Multiple generations may be used for incremental improvements to an optimal solution, or if the current values are not already “optimized” in that the accounts were selected by a naive investor. Therefore the present invention works both for experienced investors and, advisors as well as naive users and may be adjusted accordingly for specific investor types.
- the illustrative embodiment of the present invention is implemented using Microsoft Access 97 and XPERTRULE KBS by Attar Software. However, any database could be used for this purpose as could any heuristic problem solving algorithm.
- the illustrative embodiment runs on a general purpose computer such as an Intel® based processor running a standard operating system such as Microsoft Windows® or Linux.
- the present invention can run on any type of computer system, mainframes to palm computers, or on calculators such as financial calculators.
- the present invention may be available locally or remotely to users over a network based system such as the internet or modem connections. For example, users can access a web site (either generally or with a personal account number), enter information and run the optimizing system. Users can also store their personal information in secure accounts at the web site.
- the GA component of the illustrative embodiment first computes the portfolio value given the current location of assets between taxable and tax deferred accounts, and stores this for comparison to the final value determined to be best by the cost function.
- the GA component then initializes the GA to a set of values that represent the current value in tax deferred accounts in order to provide a reasonable starting point for the optimization. This is not necessary to reach an optimal value, but it seems to speed up the process considerably.
- a first iteration (or pool) of chromosomes is performed for fifty iterations. The iterations differ through random changes (mutations) in the chromosome. A generation is then created, using random crossovers with another set of 50 iterations. This cycle may be repeated as desired.
- the value function determines the total value of the portfolio. If this value is better than previous values, then it is retained as the best solution so far, otherwise, it is discarded.
- FIG. 6 illustrates a user interface front end for use with an illustrative embodiment of the present invention.
- information including an account identification, and a business or individual indication are entered along with the first and last name and age of the entity. This information may be saved in a database to allow future recall and changes. Other information which may be used in calculations or simply for data base entry are also entered. Allocation data including the total assets available and the total assets in a tax deferred account are input along with the (combined or separate) federal and state tax rate for the individual. An optimization method may be entered including after liquidation are also entered. Finally, the time horizon in years is also entered on this screen 64 .
- Asset Class There are possibly many user-defined asset classes which generally fall into one of two types: Stock or Bond.
- Stock or Bond For each asset class, the user may enter or select the following data: percent taxed by federal and state governments; ordinary income (dividend) percent; yield percent for bonds; long term capital growth distribution; anticipated unrealized appreciation; percent and amount to be allocated to each asset class; percent and amount currently allocated to taxable and tax deferred accounts; average turnover time; and capital gains tax rate.
- a preliminary allocation between the various investments which is shown by label 68 .
- there is a percent allocation between the various investments which will equal approximately 100%.
- the illustrative embodiment will also calculate the investment amount based on the total assets available based on the percentage as shown by label 70 . Alternatively, the amount entered may be entered in monetary units wherein the percentage will be calculated automatically.
- a current allocation between taxable and tax deferred accounts is entered 72 . This provides a starting point for the optimization process and further will provide an ability to view how much the optimization has provided for.
- the appropriate data is sent to the optimizing system.
- data is written to an ASCII text file by the database, and are subsequently read by the optimizing system.
- OLE 2 or other protocols may be used for data communication. Prior to optimization, some calculations arc done to prepare the data for optimization. This code, written using XPERTRULE KBS, is shown in Appendix A.
- FIG. 8 shows the result screen 74 which presents the output from the optimization process.
- the investment allocation optimization system was able to provide an 11% improvement over the current strategy with a time horizon extending out to March of 2039.
- the data as shown by label 78 is a new allocation between the taxable account and tax deferred account which provides more value at the time horizon.
- the optimization system maintains the limits as provided by the account data, for example if an entity wants to invest 25% in a particular investment, then there is not enough assets available in a tax deferred account to fully fund 25% then assets will be distributed from the taxable account to make up the difference.
- An improvement upon this strategy is to provide suggestions to the entity to provide more funds available in their tax deferred account should that person's tax situation allow for such a move.
- the illustrative embodiment of the present invention was tested with data to check the hypothesis of Evensky, as discussed in the previously cited Wall Street Journal article. Evensky recommended keeping stocks in taxable accounts and bonds in tax-deferred accounts.
- a scenario was run using data of $200,000 total assets, with $100,000 in tax-deferred accounts. The federal tax rate was 42% and state tax rate 6%, with a horizon of forty years. Two investments were entered, a bond investment returning 6%, and a stock investment returning 13%.
- the scenario was started with all the tax-deferred assets (50%) in the bond investment, and all the taxable assets (50%) in the stock investment, thereby following Evensky's advice.
- the results from running the system was very different.
- the illustrative embodiment instead computed that putting all the taxable assets in the bond investment, and all the tax-deferred assets in the stock investment would results in a growth in value to $7,281,432, which was a 94% improvement over the initial allocation. Therefore, for the example tested here, Evensky's hypothesis is clearly not the best investment strategy.
- the present invention includes additions and enhancements which provide more utility for investors and analysts.
- These additions include different optimization techniques and algorithms, including rule-based expert systems, neural net processing to recognize patterns and learn optimization techniques, fuzzy logic, linear programming, exhaustive search, and various combinations thereof.
- a foreign tax credit feature may be added, wherein the foreign tax credit can only be taken in taxable accounts as an additional input.
- optimization thresholds and variations include an age 701 ⁇ 2 (minimum required distributions), post-retirement investment location optimization. Another optimization is crossover points for all the variables that trigger when one account is better than another. Another optimization is differing time horizons for various accounts. Also, different beneficiary designations on retirement accounts can be factored in, i.e., Roth IRAs distributions could be delayed beyond the owner's death.
- features of the present invention include input and output of information in standardized formats, for example the Morningstar's or Standard and Poors etc. databases, allowing tie-ins for fund/individual security data such as past returns, turnover, dividend yield, etc. Support for databases and/or spreadsheets of optimized portfolio as well as current portfolio is helpful. Other support includes cash flow analysis, with integration of projected cash flow needs to determine time horizons for various investment accounts, and to integrate with existing software programs that calculate retirement projections or optimal investment mixes etc. Other features include a separate application which integrates into other standard systems, to extract the necessary information and produce results with minimal data entry.
- Other features include a “solve it” function, for example to determine what minimum rate of return is needed before stock should be in retirement account or any other variable in the program; simultaneous optimization of asset allocation with investment location; factoring in of ongoing cash inflows and outflows, a rebalancing feature, which ties in anticipated rebalancing needs with current optimizations; and a tax efficiency calculator, to determine for example how much greater of an investment return does Fund A need to offset its tax inefficiency when compared to Fund B.
- a “solve it” function for example to determine what minimum rate of return is needed before stock should be in retirement account or any other variable in the program
- simultaneous optimization of asset allocation with investment location factoring in of ongoing cash inflows and outflows, a rebalancing feature, which ties in anticipated rebalancing needs with current optimizations
- a tax efficiency calculator to determine for example how much greater of an investment return does Fund A need to offset its tax inefficiency when compared to Fund B.
Abstract
Description
Claims (14)
Priority Applications (9)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US09/346,602 US6240399B1 (en) | 1998-12-24 | 1999-07-02 | System and method for optimizing investment location |
AU22143/00A AU2214300A (en) | 1998-12-24 | 1999-12-23 | System and method for optimizing investment location |
PCT/US1999/030879 WO2000039734A1 (en) | 1998-12-24 | 1999-12-23 | System and method for optimizing investment location |
US09/825,426 US20020013754A1 (en) | 1999-07-02 | 2001-04-03 | Financial optimization system and method |
US11/928,945 US20090070275A1 (en) | 1999-07-02 | 2007-10-30 | financial optimization system and method |
US12/564,574 US20100076908A1 (en) | 1999-07-02 | 2009-09-22 | Financial optimization system and method |
US13/398,261 US8788392B2 (en) | 1998-12-24 | 2012-02-16 | Mortgage and education financial optimization |
US14/283,693 US20140258180A1 (en) | 1998-12-24 | 2014-05-21 | Financial optimization system and method |
US15/091,934 US20160225090A1 (en) | 1998-12-24 | 2016-04-06 | Financial optimization system and method |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US11385998P | 1998-12-24 | 1998-12-24 | |
US09/346,602 US6240399B1 (en) | 1998-12-24 | 1999-07-02 | System and method for optimizing investment location |
Related Child Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US09/825,426 Continuation-In-Part US20020013754A1 (en) | 1998-12-24 | 2001-04-03 | Financial optimization system and method |
Publications (1)
Publication Number | Publication Date |
---|---|
US6240399B1 true US6240399B1 (en) | 2001-05-29 |
Family
ID=26811560
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US09/346,602 Expired - Lifetime US6240399B1 (en) | 1998-12-24 | 1999-07-02 | System and method for optimizing investment location |
Country Status (3)
Country | Link |
---|---|
US (1) | US6240399B1 (en) |
AU (1) | AU2214300A (en) |
WO (1) | WO2000039734A1 (en) |
Cited By (152)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20020013754A1 (en) * | 1999-07-02 | 2002-01-31 | Glenn Frank | Financial optimization system and method |
WO2002027427A2 (en) * | 2000-09-25 | 2002-04-04 | Ge Financial Assurance Holdings, Inc. | Method and system for developing a tax-related strategy |
US20020091635A1 (en) * | 2000-09-20 | 2002-07-11 | Venkatachari Dilip | Method and apparatus for managing transactions |
US20020091605A1 (en) * | 2000-11-01 | 2002-07-11 | Labe Russell Paul | Asset allocation optimizer |
US20020123953A1 (en) * | 2000-12-15 | 2002-09-05 | Donald Goldfarb | Systems and methods for providing robust investment portfolios |
US20020143682A1 (en) * | 2000-11-29 | 2002-10-03 | Bergmann Michael D. | Method of ascertaining an efficient frontier for tax-sensitive investors |
US20020143699A1 (en) * | 2001-03-28 | 2002-10-03 | International Business Machines Corporation | System and method for automating invoice processing with positive confirmation |
WO2002084434A2 (en) * | 2001-04-13 | 2002-10-24 | American Skandia Life Assurance Corporation | System, method, and computer program product for allocating assets among a plurality of investments to guarantee a predetermined value at the end of a predetermined period |
US20020174048A1 (en) * | 2000-07-24 | 2002-11-21 | Sanjeev Dheer | Method and apparatus for delegating authority |
US20030004849A1 (en) * | 2000-09-20 | 2003-01-02 | Deborah Velez | Method and system for allocating assets in emerging markets |
US20030028466A1 (en) * | 2001-07-31 | 2003-02-06 | American Express Travel Related Services Company Inc. | System and method for providing financial planning and advice |
US20030088492A1 (en) * | 2001-08-16 | 2003-05-08 | Damschroder James Eric | Method and apparatus for creating and managing a visual representation of a portfolio and determining an efficient allocation |
US20030088320A1 (en) * | 2000-06-10 | 2003-05-08 | Sale Mark Edward | Unsupervised machine learning-based mathematical model selection |
US20030135752A1 (en) * | 2002-01-11 | 2003-07-17 | Sokolic Jeremy N. | Multiple trust modes for handling data |
US20030154151A1 (en) * | 2001-06-29 | 2003-08-14 | Matthew Biondi | System and method for multiple account single security trading |
US20030172018A1 (en) * | 2002-03-05 | 2003-09-11 | Ibbotson Associates, Inc. | Automatically allocating and rebalancing discretionary portfolios |
US20030177084A1 (en) * | 2002-03-14 | 2003-09-18 | Cassani Michael J. | Charitable investment fund |
WO2003091927A1 (en) * | 2002-04-10 | 2003-11-06 | Burlington Hall Asset Management, Inc. | Method and apparatus for producing asset allocation |
US20030233301A1 (en) * | 2002-06-18 | 2003-12-18 | Ibbotson Associates, Inc. | Optimal asset allocation during retirement in the presence of fixed and variable immediate life annuities (payout annuities) |
US20030236728A1 (en) * | 2000-09-20 | 2003-12-25 | Amir Sunderji | Method and apparatus for managing a financial transaction system |
US20040073505A1 (en) * | 2002-10-09 | 2004-04-15 | James Foley Wright | Method for performing monte carlo risk analysis of business scenarios |
US20040088236A1 (en) * | 2002-10-31 | 2004-05-06 | Manning Kathleen E. | Method and apparatus for investment consulting, benefit projection and investment analysis |
US20040117236A1 (en) * | 2002-12-13 | 2004-06-17 | Dharmashankar Subramanian | Automated optimization tool for electric utility sypply services |
US20040128219A1 (en) * | 2002-03-14 | 2004-07-01 | Hilton Kenneth W. | Cash generation from portfolio disposition using genetic algorithms |
US20040143524A1 (en) * | 2003-01-22 | 2004-07-22 | Hilton Kenneth W. | Cash flow optimization using a genetic algorithm |
US20040148216A1 (en) * | 2003-01-23 | 2004-07-29 | Accenture Global Services Gmbh | Calculating the benefit of an investment in training |
US20040186804A1 (en) * | 2003-03-19 | 2004-09-23 | Anindya Chakraborty | Methods and systems for analytical-based multifactor multiobjective portfolio risk optimization |
US20040186814A1 (en) * | 2003-03-19 | 2004-09-23 | Chalermkraivuth Kete Charles | Methods and systems for analytical-based multifactor multiobjective portfolio risk optimization |
US6799167B1 (en) * | 1999-10-22 | 2004-09-28 | Decision Analytics, Inc. | Dynamic portfolio benchmarking |
US20040199448A1 (en) * | 2003-03-19 | 2004-10-07 | Chalermkraivuth Kete Charles | Methods and systems for analytical-based multifactor multiobjective portfolio risk optimization |
US20040236653A1 (en) * | 2002-01-03 | 2004-11-25 | Sokolic Jeremy N. | System and method for associating identifiers with data |
US20040249735A1 (en) * | 2002-03-14 | 2004-12-09 | Cassani Michael Joseph | Charitable investment fund |
US20050027632A1 (en) * | 2003-07-31 | 2005-02-03 | Ubs Financial Services, Inc. | Financial investment advice system and method |
US20050187867A1 (en) * | 2002-01-03 | 2005-08-25 | Sokolic Jeremy N. | System and method for associating identifiers with transactions |
US20050187849A1 (en) * | 2004-02-20 | 2005-08-25 | Srinivas Bollapragada | Systems and methods for initial sampling in multi-objective portfolio analysis |
US20050187847A1 (en) * | 2004-02-20 | 2005-08-25 | Bonissone Piero P. | Systems and methods for multi-objective portfolio analysis and decision-making using visualization techniques |
US20050187862A1 (en) * | 2000-07-24 | 2005-08-25 | Sanjeev Dheer | Compliance monitoring method and apparatus |
US20050187846A1 (en) * | 2004-02-20 | 2005-08-25 | Subbu Rajesh V. | Systems and methods for multi-objective portfolio analysis using pareto sorting evolutionary algorithms |
US20050187848A1 (en) * | 2004-02-20 | 2005-08-25 | Bonissone Piero P. | Systems and methods for efficient frontier supplementation in multi-objective portfolio analysis |
US20050187844A1 (en) * | 2004-02-20 | 2005-08-25 | Kete Charles Chalermkraivuth | Systems and methods for multi-objective portfolio optimization |
US20050234793A1 (en) * | 2004-03-26 | 2005-10-20 | Renato Staub | Method and computer program for tax sensitive investment portfolio management |
US20050246260A1 (en) * | 1999-03-01 | 2005-11-03 | Hodgdon Stephen J | Seligman harvester risk management system for achieving a recommended asset allocation and withdrawal strategy |
US20050278198A1 (en) * | 2004-06-09 | 2005-12-15 | Darren Huxol | Methods and systems for managing a portfolio of insurance products |
US20050283419A1 (en) * | 2004-06-22 | 2005-12-22 | Schaub Benson L | System and method for maximizing after-tax income using split method charitable remainder trusts |
US20060020535A1 (en) * | 2004-07-20 | 2006-01-26 | Dr. George Pieczenik | Insurance for dollar equivalent stock certificates |
US7016873B1 (en) * | 2000-03-02 | 2006-03-21 | Charles Schwab & Co., Inc. | System and method for tax sensitive portfolio optimization |
US20060080147A1 (en) * | 2004-10-08 | 2006-04-13 | Mark Greenstein | Method of purchasing a product to avoid adverse selection |
US20060080199A1 (en) * | 2001-02-09 | 2006-04-13 | Tarbox Brian C | Systems and method for improving investment performance |
US7047217B1 (en) * | 1999-02-19 | 2006-05-16 | Dynamic Taxoptimizer Llc | Computerized system and method for optimizing after-tax proceeds involving options |
US20060195398A1 (en) * | 2005-02-04 | 2006-08-31 | Sanjeev Dheer | Method and apparatus for processing payment requests |
US20070055708A1 (en) * | 2005-09-07 | 2007-03-08 | Ncr Corporation | Processing formulae in rules for profitability calculations for financial processing in a relational database management system |
US20070067239A1 (en) * | 2005-09-19 | 2007-03-22 | Cashedge, Inc. | Method and Apparatus for Transferring Financial Information |
US20070100748A1 (en) * | 2005-10-19 | 2007-05-03 | Sanjeev Dheer | Multi-channel transaction system for transferring assets between accounts at different financial institutions |
US20070162369A1 (en) * | 2006-01-09 | 2007-07-12 | Hardison Joseph H Iii | Internet-based method of and system for transfering and exercising monetary rights within a financial marketplace |
US20070162363A1 (en) * | 2000-09-07 | 2007-07-12 | Jean-Paul Chollon | System and method for front end business logic and validation |
US7249138B1 (en) | 2000-06-29 | 2007-07-24 | Ncr Corporation | Parallel selection processing for financial processing in a relational database management system |
US20070179894A1 (en) * | 2001-03-22 | 2007-08-02 | Cirulli Susan B | System and method for leveraging procurement across companies and company groups |
US7263503B1 (en) | 2000-06-29 | 2007-08-28 | Ncr Corporation | Capital allocation in a net interest revenue implementation for financial processing in a relational database management system |
US20070265955A1 (en) * | 2001-03-02 | 2007-11-15 | International Business Machines Corporation | System and method for managing internet trading networks |
US7305353B1 (en) * | 2001-03-01 | 2007-12-04 | Charles Schwab Co., Inc. | System and method for forecasting tax effects of financial transactions |
US7308427B1 (en) | 2000-06-29 | 2007-12-11 | Ncr Corp. | Amortization for financial processing in a relational database management system |
US20080015982A1 (en) * | 2000-09-20 | 2008-01-17 | Jeremy Sokolic | Funds transfer method and system including payment enabled invoices |
US7337134B1 (en) | 2001-04-30 | 2008-02-26 | Teradata Corp. | Shareholder value add for financial processing in a relational database management system |
US7343332B1 (en) | 2000-06-29 | 2008-03-11 | Ncr Corp. | Advanced and breakthrough net interest revenue implementation for financial processing in a relational database management system |
US20080071653A1 (en) * | 2001-03-23 | 2008-03-20 | Cirulli Susan B | System and method for processing tax codes by company group |
US7349875B1 (en) | 2000-06-29 | 2008-03-25 | Ncr Corp. | Basic and intermediate net interest revenue implementations for financial processing in a relational database management system |
US7349874B1 (en) * | 2000-06-29 | 2008-03-25 | Mcr Corp. | Other revenue implementation for financial processing in a relational database management system |
US20080091578A1 (en) * | 2001-03-22 | 2008-04-17 | Kane Timothy R | System and method for synchronizing ledger accounts by company group |
US20080120212A1 (en) * | 2001-03-22 | 2008-05-22 | Thomas Alexander Aber | System and method for invoice imaging through negative confirmation process |
US7383214B1 (en) | 2000-06-29 | 2008-06-03 | Teradata Us, Inc. | Dynamic event selection for financial processing in a relational database management system |
US20080168003A1 (en) * | 2007-01-10 | 2008-07-10 | Wald Thomas Robert | System and method for securitizing zero coupon bond and equity index portfolios in a target date exchange traded fund |
US7409365B1 (en) | 2000-06-29 | 2008-08-05 | Teradata, Us Inc. | Risk provision implementation financial processing in a relational database management system |
US7418415B1 (en) * | 2001-12-10 | 2008-08-26 | Teredata Us, Inc. | Object-oriented representation of a generic profitability rule for financial processing in a relational database management system |
US20080235170A1 (en) * | 2007-03-19 | 2008-09-25 | Microsoft Corporation | Using scenario-related metadata to direct advertising |
US20080235206A1 (en) * | 2007-03-19 | 2008-09-25 | Microsoft Corporation | Using scenario-related information to customize user experiences |
US20080235229A1 (en) * | 2007-03-19 | 2008-09-25 | Microsoft Corporation | Organizing scenario-related information and controlling access thereto |
US20080288400A1 (en) * | 2007-04-27 | 2008-11-20 | Cashedge, Inc. | Centralized Payment Method and System for Online and Offline Transactions |
US20080294574A1 (en) * | 2005-11-21 | 2008-11-27 | Hawkes James B | Tax managed buy-write fund |
US7461025B1 (en) * | 2001-12-10 | 2008-12-02 | Teradata Us, Inc. | Driver amount and count selection processing for financial processing in a relational database management system |
US20080301023A1 (en) * | 2007-05-02 | 2008-12-04 | Cashedge, Inc. | Multi-Channel and Cross-Channel Account Opening |
US7475032B1 (en) | 1999-11-16 | 2009-01-06 | Ameriprise Financial, Inc. | Systems and methods for creating financial advice applications |
US7512554B1 (en) | 2000-06-29 | 2009-03-31 | Teradata Us, Inc. | Tax adjustment for financial processing in a relational database management system |
US20090094170A1 (en) * | 2005-09-02 | 2009-04-09 | Anne Mercier Mohn | Methods and systems for financial account management |
US20090094171A1 (en) * | 2005-06-22 | 2009-04-09 | Schaub Benson L | System and method for maximizing after-tax income using split method charitable remainder trusts |
US20090125370A1 (en) * | 2007-11-08 | 2009-05-14 | Genetic Finance Holdings Limited | Distributed network for performing complex algorithms |
US20090276359A1 (en) * | 2008-04-24 | 2009-11-05 | Cashedge, Inc. | Multi-Product-Multi-Channel Payment Platform System and Method |
US20090292648A1 (en) * | 2008-04-03 | 2009-11-26 | James Eric Damschroder | Diversification measurement and analysis system |
US20090319410A1 (en) * | 2001-06-28 | 2009-12-24 | Checkfree Corporation | Inter-Network Electronic Billing |
US20100010838A1 (en) * | 2005-06-22 | 2010-01-14 | Schaub Benson L | System and method for maximizing after-tax income using split method charitable remainder trusts |
US20100030687A1 (en) * | 2008-01-18 | 2010-02-04 | Cashedge, Inc. | Real-Time Settlement of Financial Transactions Using Electronic Fund Transfer Networks |
US20100042538A1 (en) * | 2008-08-18 | 2010-02-18 | Sanjeev Dheer | Money Movement Network Method |
US7668773B1 (en) | 2001-12-21 | 2010-02-23 | Placemark Investments, Inc. | Portfolio management system |
US7680709B1 (en) * | 2000-06-29 | 2010-03-16 | Teradata Us, Inc. | Selection processing for financial processing in a relational database management system |
US7752100B1 (en) | 2000-06-29 | 2010-07-06 | Terodata US, Inc. | Selector function for life-time value financial processing in a relational database management system |
US7756787B1 (en) | 2003-01-22 | 2010-07-13 | Intuit Inc. | Bill payment optimization using a genetic algorithm |
US7792719B2 (en) | 2004-02-04 | 2010-09-07 | Research Affiliates, Llc | Valuation indifferent non-capitalization weighted index and portfolio |
US7797207B1 (en) * | 2000-07-24 | 2010-09-14 | Cashedge, Inc. | Method and apparatus for analyzing financial data |
US20100274742A1 (en) * | 2009-04-28 | 2010-10-28 | Genetic Finance Holdings Limited AMS Trustees Limited | Distributed evolutionary algorithm for asset management and trading |
US20100274736A1 (en) * | 2009-04-28 | 2010-10-28 | Genetic Finance Holdings Limited, AMS Trustees Limited | Class-based distributed evolutionary algorithm for asset management and trading |
US7835959B1 (en) | 2003-08-20 | 2010-11-16 | Teradata Us, Inc. | Future value attrition for life-time value financial processing in a relational database management system |
US7835958B1 (en) | 2003-08-20 | 2010-11-16 | Teradata Us, Inc. | Life-time value financial processing in a relational database management system |
US7844526B1 (en) | 2003-08-20 | 2010-11-30 | Teradata Us, Inc. | Net present value attrition for Life-Time Value financial processing in a relational database management system |
US7844515B1 (en) | 2003-08-20 | 2010-11-30 | Teradata Us, Inc. | Net present value forecast for life-time value financial processing in a relational database management system |
US7844516B1 (en) | 2003-08-20 | 2010-11-30 | Teradata Us, Inc. | Future value propensity for life-time value financial processing in a relational database management system |
US7860774B1 (en) * | 2003-10-31 | 2010-12-28 | Charles Schwab & Co., Inc. | System and method for providing financial advice for an investment portfolio |
US7873677B2 (en) | 2002-01-03 | 2011-01-18 | Cashedge, Inc. | Method and apparatus for retrieving and processing data |
US20110040581A1 (en) * | 2009-08-17 | 2011-02-17 | Hartford Fire Insurance Company | Life span solution-based modeling |
US8005740B2 (en) | 2002-06-03 | 2011-08-23 | Research Affiliates, Llc | Using accounting data based indexing to create a portfolio of financial objects |
US20110213707A1 (en) * | 2010-03-01 | 2011-09-01 | Fiserv, Inc. | Systems and methods for facilitating person-to-person payments |
US8078604B2 (en) | 2007-03-19 | 2011-12-13 | Microsoft Corporation | Identifying executable scenarios in response to search queries |
US8200561B1 (en) * | 2002-03-29 | 2012-06-12 | Financial Engines, Inc. | Tax-aware asset allocation |
US8255296B2 (en) | 2009-06-11 | 2012-08-28 | Interest Capturing Systems, Llc | System for implementing a security issuer rights management process over a distributed communications network, deployed in a financial marketplace |
US8374939B2 (en) | 2002-06-03 | 2013-02-12 | Research Affiliates, Llc | System, method and computer program product for selecting and weighting a subset of a universe to create an accounting data based index and portfolio of financial objects |
US8374937B2 (en) | 2002-04-10 | 2013-02-12 | Research Affiliates, Llc | Non-capitalization weighted indexing system, method and computer program product |
US8374951B2 (en) | 2002-04-10 | 2013-02-12 | Research Affiliates, Llc | System, method, and computer program product for managing a virtual portfolio of financial objects |
US8401949B1 (en) | 2006-12-12 | 2013-03-19 | Goldman, Sachs & Co. | Method, system and apparatus for wealth management |
US8589276B2 (en) | 2002-06-03 | 2013-11-19 | Research Afiliates, LLC | Using accounting data based indexing to create a portfolio of financial objects |
US8626659B1 (en) | 2012-09-28 | 2014-01-07 | Fiserv, Inc. | Facilitating presentation of content relating to a financial transaction |
US8626626B2 (en) | 2006-01-09 | 2014-01-07 | Interest Capturing Systems, Llc | Method of and system for capturing interest earned on the monetary value of transferred monetary rights managed on an internet-based monetary rights transfer (MRT) network supported by a real-time gross settlement (RTGS) system |
US8694402B2 (en) * | 2002-06-03 | 2014-04-08 | Research Affiliates, Llc | Using accounting data based indexing to create a low volatility portfolio of financial objects |
US8909570B1 (en) | 2008-11-07 | 2014-12-09 | Genetic Finance (Barbados) Limited | Data mining technique with experience-layered gene pool |
US8977581B1 (en) | 2011-07-15 | 2015-03-10 | Sentient Technologies (Barbados) Limited | Data mining technique with diversity promotion |
US20150081495A1 (en) * | 2013-09-19 | 2015-03-19 | Barclays Bank Plc | System and Method for Account Succession |
TWI503777B (en) * | 2010-05-17 | 2015-10-11 | Sentient Technologies Barbados Ltd | Distributed evolutionary algorithm for asset management and trading |
US9304895B1 (en) | 2011-07-15 | 2016-04-05 | Sentient Technologies (Barbados) Limited | Evolutionary technique with n-pool evolution |
US9367816B1 (en) | 2011-07-15 | 2016-06-14 | Sentient Technologies (Barbados) Limited | Data mining technique with induced environmental alteration |
US9710764B1 (en) | 2011-07-15 | 2017-07-18 | Sentient Technologies (Barbados) Limited | Data mining technique with position labeling |
US10025700B1 (en) | 2012-07-18 | 2018-07-17 | Sentient Technologies (Barbados) Limited | Data mining technique with n-Pool evolution |
US20180250554A1 (en) * | 2017-03-03 | 2018-09-06 | Sentient Technologies (Barbados) Limited | Behavior Dominated Search in Evolutionary Search Systems |
US10185946B2 (en) | 2014-12-31 | 2019-01-22 | Fiserv, Inc. | Facilitating presentation of content relating to a financial transaction |
US10268953B1 (en) | 2014-01-28 | 2019-04-23 | Cognizant Technology Solutions U.S. Corporation | Data mining technique with maintenance of ancestry counts |
US10430429B2 (en) | 2015-09-01 | 2019-10-01 | Cognizant Technology Solutions U.S. Corporation | Data mining management server |
US10657502B2 (en) | 2012-12-31 | 2020-05-19 | Fiserv, Inc. | Systems and methods for performing financial transactions |
US10956823B2 (en) | 2016-04-08 | 2021-03-23 | Cognizant Technology Solutions U.S. Corporation | Distributed rule-based probabilistic time-series classifier |
US11003994B2 (en) | 2017-12-13 | 2021-05-11 | Cognizant Technology Solutions U.S. Corporation | Evolutionary architectures for evolution of deep neural networks |
US11182677B2 (en) | 2017-12-13 | 2021-11-23 | Cognizant Technology Solutions U.S. Corporation | Evolving recurrent networks using genetic programming |
US11250328B2 (en) | 2016-10-26 | 2022-02-15 | Cognizant Technology Solutions U.S. Corporation | Cooperative evolution of deep neural network structures |
US11250314B2 (en) | 2017-10-27 | 2022-02-15 | Cognizant Technology Solutions U.S. Corporation | Beyond shared hierarchies: deep multitask learning through soft layer ordering |
US11281977B2 (en) | 2017-07-31 | 2022-03-22 | Cognizant Technology Solutions U.S. Corporation | Training and control system for evolving solutions to data-intensive problems using epigenetic enabled individuals |
US11288579B2 (en) | 2014-01-28 | 2022-03-29 | Cognizant Technology Solutions U.S. Corporation | Training and control system for evolving solutions to data-intensive problems using nested experience-layered individual pool |
US11403532B2 (en) | 2017-03-02 | 2022-08-02 | Cognizant Technology Solutions U.S. Corporation | Method and system for finding a solution to a provided problem by selecting a winner in evolutionary optimization of a genetic algorithm |
US20220284409A1 (en) * | 2014-01-28 | 2022-09-08 | Six Trees Capital LLC | System and method for automated optimization of financial assets |
US11481639B2 (en) | 2019-02-26 | 2022-10-25 | Cognizant Technology Solutions U.S. Corporation | Enhanced optimization with composite objectives and novelty pulsation |
US11507844B2 (en) | 2017-03-07 | 2022-11-22 | Cognizant Technology Solutions U.S. Corporation | Asynchronous evaluation strategy for evolution of deep neural networks |
US11527308B2 (en) | 2018-02-06 | 2022-12-13 | Cognizant Technology Solutions U.S. Corporation | Enhanced optimization with composite objectives and novelty-diversity selection |
US11574201B2 (en) | 2018-02-06 | 2023-02-07 | Cognizant Technology Solutions U.S. Corporation | Enhancing evolutionary optimization in uncertain environments by allocating evaluations via multi-armed bandit algorithms |
US11574202B1 (en) | 2016-05-04 | 2023-02-07 | Cognizant Technology Solutions U.S. Corporation | Data mining technique with distributed novelty search |
US11663492B2 (en) | 2015-06-25 | 2023-05-30 | Cognizant Technology Solutions | Alife machine learning system and method |
US11669716B2 (en) | 2019-03-13 | 2023-06-06 | Cognizant Technology Solutions U.S. Corp. | System and method for implementing modular universal reparameterization for deep multi-task learning across diverse domains |
US11755979B2 (en) | 2018-08-17 | 2023-09-12 | Evolv Technology Solutions, Inc. | Method and system for finding a solution to a provided problem using family tree based priors in Bayesian calculations in evolution based optimization |
US11775841B2 (en) | 2020-06-15 | 2023-10-03 | Cognizant Technology Solutions U.S. Corporation | Process and system including explainable prescriptions through surrogate-assisted evolution |
US11783195B2 (en) | 2019-03-27 | 2023-10-10 | Cognizant Technology Solutions U.S. Corporation | Process and system including an optimization engine with evolutionary surrogate-assisted prescriptions |
Families Citing this family (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7844527B2 (en) | 2005-08-30 | 2010-11-30 | Pensiondcisions Limited | Method and system for measuring investment performance |
CN104537564A (en) * | 2015-01-24 | 2015-04-22 | 宜信卓越财富投资管理(北京)有限公司 | System and method for combined management of asset allocation and investment |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5255345A (en) * | 1988-02-17 | 1993-10-19 | The Rowland Institute For Science, Inc. | Genetic algorithm |
EP0572281A1 (en) * | 1992-05-29 | 1993-12-01 | The Dreyfus Corporation | Data processing system for administering a program to allocate financial assets |
US5404516A (en) * | 1992-12-18 | 1995-04-04 | Hughes Aircraft Company | System for allocating resources and method |
US5761422A (en) * | 1995-03-22 | 1998-06-02 | Telefonaktiebolaget Lm Ericsson | Transferring address of data in buffer memory between processors using read-only register with respect to second processor |
US5819244A (en) * | 1995-10-02 | 1998-10-06 | Apple Computer, Inc. | Adaptive computing systems, computer readable memories and processes employing hyperlinear chromosomes |
US6021397A (en) * | 1997-12-02 | 2000-02-01 | Financial Engines, Inc. | Financial advisory system |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5761442A (en) * | 1994-08-31 | 1998-06-02 | Advanced Investment Technology, Inc. | Predictive neural network means and method for selecting a portfolio of securities wherein each network has been trained using data relating to a corresponding security |
-
1999
- 1999-07-02 US US09/346,602 patent/US6240399B1/en not_active Expired - Lifetime
- 1999-12-23 AU AU22143/00A patent/AU2214300A/en not_active Abandoned
- 1999-12-23 WO PCT/US1999/030879 patent/WO2000039734A1/en active Application Filing
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5255345A (en) * | 1988-02-17 | 1993-10-19 | The Rowland Institute For Science, Inc. | Genetic algorithm |
EP0572281A1 (en) * | 1992-05-29 | 1993-12-01 | The Dreyfus Corporation | Data processing system for administering a program to allocate financial assets |
US5404516A (en) * | 1992-12-18 | 1995-04-04 | Hughes Aircraft Company | System for allocating resources and method |
US5761422A (en) * | 1995-03-22 | 1998-06-02 | Telefonaktiebolaget Lm Ericsson | Transferring address of data in buffer memory between processors using read-only register with respect to second processor |
US5819244A (en) * | 1995-10-02 | 1998-10-06 | Apple Computer, Inc. | Adaptive computing systems, computer readable memories and processes employing hyperlinear chromosomes |
US6021397A (en) * | 1997-12-02 | 2000-02-01 | Financial Engines, Inc. | Financial advisory system |
Non-Patent Citations (8)
Title |
---|
Deborah K. Wong, "WinLab Reviews Software Prosper 2.0", Windows Magazine, May 1997.* |
Dennis Murray, "Ernst & Young's Prosper", Medical Economics, Nov. 11, 1996, p. 159-160.* |
Fred Glover et al., "New Advances and Applications of Combining Simulation and Optimization", Proceedings of the 1996 Winter Simulation Conference, p. 144-152.* |
Jacqueline Shoaf et al., "The Efficient Set GA for Stock Portfolios", Evolutionary Computation Proceedings, May 1998, p. 354-359.* |
O'Connell, Vanessa "Capital-Gains Tax Cuts Mean It's Time To Review Your Tax-Deferral Strategy," Wall Street Journal (Aug. 29, 1999) p. C1. |
Oliver V. Pictet et al., "Genetic Algorithms with collective sharing for Robust Optimization in Financial Applications", Jan. 22, 1996, p. 1-14.* |
Suleiman K. Kassicieh et al., "Investment Decisions Using Genetic Algorithms", Proceedings of the Thirtieth Hawaii International Conference on System Sciences, 1997, p. 484-490.* |
Suran Goonatilake, "Intelligent Hybrid Systems for Financial Decision Making", Proceedings of the 1995 ACM Conference on Applied Computing, p. 471-476.* |
Cited By (250)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US8788392B2 (en) | 1998-12-24 | 2014-07-22 | Glenn E. Frank | Mortgage and education financial optimization |
US7047217B1 (en) * | 1999-02-19 | 2006-05-16 | Dynamic Taxoptimizer Llc | Computerized system and method for optimizing after-tax proceeds involving options |
US6985880B1 (en) * | 1999-03-01 | 2006-01-10 | Seligman Advisors, Inc. | Method of risk management and of achieving a recommended asset allocation and withdrawal strategy, and computer-readable medium, apparatus and computer program thereof |
US20050246260A1 (en) * | 1999-03-01 | 2005-11-03 | Hodgdon Stephen J | Seligman harvester risk management system for achieving a recommended asset allocation and withdrawal strategy |
US20020013754A1 (en) * | 1999-07-02 | 2002-01-31 | Glenn Frank | Financial optimization system and method |
US20100076908A1 (en) * | 1999-07-02 | 2010-03-25 | Glenn Frank | Financial optimization system and method |
US6799167B1 (en) * | 1999-10-22 | 2004-09-28 | Decision Analytics, Inc. | Dynamic portfolio benchmarking |
US7475032B1 (en) | 1999-11-16 | 2009-01-06 | Ameriprise Financial, Inc. | Systems and methods for creating financial advice applications |
US7016873B1 (en) * | 2000-03-02 | 2006-03-21 | Charles Schwab & Co., Inc. | System and method for tax sensitive portfolio optimization |
US20030088320A1 (en) * | 2000-06-10 | 2003-05-08 | Sale Mark Edward | Unsupervised machine learning-based mathematical model selection |
US7085690B2 (en) | 2000-06-10 | 2006-08-01 | Mark Edward Sale | Unsupervised machine learning-based mathematical model selection |
US7343332B1 (en) | 2000-06-29 | 2008-03-11 | Ncr Corp. | Advanced and breakthrough net interest revenue implementation for financial processing in a relational database management system |
US7512554B1 (en) | 2000-06-29 | 2009-03-31 | Teradata Us, Inc. | Tax adjustment for financial processing in a relational database management system |
US7383214B1 (en) | 2000-06-29 | 2008-06-03 | Teradata Us, Inc. | Dynamic event selection for financial processing in a relational database management system |
US7249138B1 (en) | 2000-06-29 | 2007-07-24 | Ncr Corporation | Parallel selection processing for financial processing in a relational database management system |
US7263503B1 (en) | 2000-06-29 | 2007-08-28 | Ncr Corporation | Capital allocation in a net interest revenue implementation for financial processing in a relational database management system |
US7349874B1 (en) * | 2000-06-29 | 2008-03-25 | Mcr Corp. | Other revenue implementation for financial processing in a relational database management system |
US7349875B1 (en) | 2000-06-29 | 2008-03-25 | Ncr Corp. | Basic and intermediate net interest revenue implementations for financial processing in a relational database management system |
US7409365B1 (en) | 2000-06-29 | 2008-08-05 | Teradata, Us Inc. | Risk provision implementation financial processing in a relational database management system |
US7752100B1 (en) | 2000-06-29 | 2010-07-06 | Terodata US, Inc. | Selector function for life-time value financial processing in a relational database management system |
US7693761B1 (en) | 2000-06-29 | 2010-04-06 | Teradata Us, Inc. | Account selection for financial processing in a relational database management system |
US7308427B1 (en) | 2000-06-29 | 2007-12-11 | Ncr Corp. | Amortization for financial processing in a relational database management system |
US7321869B1 (en) | 2000-06-29 | 2008-01-22 | Ncr Corp. | Allocated balances in a net interest revenue implementation for financial processing in a relational database management system |
US7680709B1 (en) * | 2000-06-29 | 2010-03-16 | Teradata Us, Inc. | Selection processing for financial processing in a relational database management system |
US20090292632A1 (en) * | 2000-07-24 | 2009-11-26 | Cash Edge, Inc. | Compliance Monitoring Method and Apparatus |
US20020174048A1 (en) * | 2000-07-24 | 2002-11-21 | Sanjeev Dheer | Method and apparatus for delegating authority |
US7536340B2 (en) | 2000-07-24 | 2009-05-19 | Cashedge, Inc. | Compliance monitoring method and apparatus |
US7797207B1 (en) * | 2000-07-24 | 2010-09-14 | Cashedge, Inc. | Method and apparatus for analyzing financial data |
US20050187862A1 (en) * | 2000-07-24 | 2005-08-25 | Sanjeev Dheer | Compliance monitoring method and apparatus |
US20130132305A1 (en) * | 2000-07-24 | 2013-05-23 | Cashedge, Inc. | Method and apparatus for analyzing financial data |
US20100299286A1 (en) * | 2000-07-24 | 2010-11-25 | Cashedge, Inc. | Method and Apparatus for Analyzing Financial Data |
US8086508B2 (en) | 2000-07-24 | 2011-12-27 | Cashedge, Inc. | Method and apparatus for delegating authority |
US20070162363A1 (en) * | 2000-09-07 | 2007-07-12 | Jean-Paul Chollon | System and method for front end business logic and validation |
US7321875B2 (en) | 2000-09-20 | 2008-01-22 | Cashedge, Inc. | Method and apparatus for implementing financial transactions |
US7321874B2 (en) | 2000-09-20 | 2008-01-22 | Cashedge, Inc. | Method and apparatus for implementing financial transactions |
US20080208737A1 (en) * | 2000-09-20 | 2008-08-28 | Cash Edge, Inc. | Funds Transfer Method and Apparatus |
US7383223B1 (en) | 2000-09-20 | 2008-06-03 | Cashedge, Inc. | Method and apparatus for managing multiple accounts |
US20080086403A1 (en) * | 2000-09-20 | 2008-04-10 | Cashedge, Inc. | Method and Apparatus for Managing Transactions |
US20080086426A1 (en) * | 2000-09-20 | 2008-04-10 | Cashedge, Inc. | Method and Apparatus for Managing Transactions |
US20080082454A1 (en) * | 2000-09-20 | 2008-04-03 | Cashedge, Inc. | Method and Apparatus for Managing Transactions |
US8266065B2 (en) | 2000-09-20 | 2012-09-11 | Cashedge, Inc. | Method and apparatus for managing transactions |
US8249983B2 (en) | 2000-09-20 | 2012-08-21 | Cashedge, Inc. | Method and apparatus for managing transactions |
US7505937B2 (en) | 2000-09-20 | 2009-03-17 | Cashedge, Inc. | Method and apparatus for implementing financial transactions |
US7240030B2 (en) * | 2000-09-20 | 2007-07-03 | American International Group, Inc. | Method and system for allocating assets in emerging markets |
US20020091635A1 (en) * | 2000-09-20 | 2002-07-11 | Venkatachari Dilip | Method and apparatus for managing transactions |
US8255336B2 (en) | 2000-09-20 | 2012-08-28 | Cashedge, Inc. | Method and apparatus for managing transactions |
US20030004849A1 (en) * | 2000-09-20 | 2003-01-02 | Deborah Velez | Method and system for allocating assets in emerging markets |
US8229850B2 (en) | 2000-09-20 | 2012-07-24 | Cashedge, Inc. | Method and apparatus for managing transactions |
US20080015982A1 (en) * | 2000-09-20 | 2008-01-17 | Jeremy Sokolic | Funds transfer method and system including payment enabled invoices |
US20030236728A1 (en) * | 2000-09-20 | 2003-12-25 | Amir Sunderji | Method and apparatus for managing a financial transaction system |
WO2002027427A3 (en) * | 2000-09-25 | 2002-05-30 | Ge Financial Assurance Holding | Method and system for developing a tax-related strategy |
WO2002027427A2 (en) * | 2000-09-25 | 2002-04-04 | Ge Financial Assurance Holdings, Inc. | Method and system for developing a tax-related strategy |
US20020091605A1 (en) * | 2000-11-01 | 2002-07-11 | Labe Russell Paul | Asset allocation optimizer |
US20020143682A1 (en) * | 2000-11-29 | 2002-10-03 | Bergmann Michael D. | Method of ascertaining an efficient frontier for tax-sensitive investors |
US7461021B2 (en) * | 2000-11-29 | 2008-12-02 | Amg National Trust Bank | Method of ascertaining an efficient frontier for tax-sensitive investors |
US20020123953A1 (en) * | 2000-12-15 | 2002-09-05 | Donald Goldfarb | Systems and methods for providing robust investment portfolios |
US7401041B2 (en) | 2000-12-15 | 2008-07-15 | The Trustees Of Columbia University | Systems and methods for providing robust investment portfolios |
US7617140B2 (en) | 2001-02-09 | 2009-11-10 | Tarbox Brian C | Systems and method for improving investment performance |
US20060080199A1 (en) * | 2001-02-09 | 2006-04-13 | Tarbox Brian C | Systems and method for improving investment performance |
US7120600B2 (en) | 2001-02-09 | 2006-10-10 | Tarbox Brian C | Systems and methods for improving investment performance |
US7606751B2 (en) | 2001-02-09 | 2009-10-20 | Tarbox Brian C | Systems and methods for improving investment performance |
US20060253364A1 (en) * | 2001-02-09 | 2006-11-09 | Tarbox Brian C | Systems and methods for improving investment performance |
US20060282363A1 (en) * | 2001-02-09 | 2006-12-14 | Tarbox Brian C | Systems and methods for improving investment performance |
US8229825B2 (en) | 2001-02-09 | 2012-07-24 | Mark David Powers, legal representative | Systems and methods for improving investment performance |
US8301527B2 (en) | 2001-02-09 | 2012-10-30 | Tarbox Brian C | Systems and methods for improving investment performance |
US20100121786A1 (en) * | 2001-02-09 | 2010-05-13 | Tarbox Brian C | Systems and methods for improving investment performance |
US9773276B2 (en) * | 2001-03-01 | 2017-09-26 | Charles Schwab & Co., Inc. | System and method for forecasting tax effects of financial transactions |
US7305353B1 (en) * | 2001-03-01 | 2007-12-04 | Charles Schwab Co., Inc. | System and method for forecasting tax effects of financial transactions |
US20080033860A1 (en) * | 2001-03-01 | 2008-02-07 | Charles Schwab & Co., Inc. | System and method for forecasting tax effects of financial transactions |
US8332280B2 (en) | 2001-03-02 | 2012-12-11 | International Business Machines Corporation | System for managing a supplier for participation in a plurality of trading networks |
US7983958B2 (en) | 2001-03-02 | 2011-07-19 | International Business Machines Corporation | Method and program storage device for managing a supplier for participation in a plurality of trading networks |
US8589251B2 (en) | 2001-03-02 | 2013-11-19 | International Business Machines Corporation | Method, system, and storage device for managing trading network packages for a plurality of trading networks |
US20070265955A1 (en) * | 2001-03-02 | 2007-11-15 | International Business Machines Corporation | System and method for managing internet trading networks |
US20080091578A1 (en) * | 2001-03-22 | 2008-04-17 | Kane Timothy R | System and method for synchronizing ledger accounts by company group |
US20080120212A1 (en) * | 2001-03-22 | 2008-05-22 | Thomas Alexander Aber | System and method for invoice imaging through negative confirmation process |
US8666903B2 (en) | 2001-03-22 | 2014-03-04 | International Business Machines Corporation | System and method for leveraging procurement across companies and company groups |
US20070179894A1 (en) * | 2001-03-22 | 2007-08-02 | Cirulli Susan B | System and method for leveraging procurement across companies and company groups |
US20080071653A1 (en) * | 2001-03-23 | 2008-03-20 | Cirulli Susan B | System and method for processing tax codes by company group |
US8589275B2 (en) * | 2001-03-23 | 2013-11-19 | Ebay Inc. | System and method for processing tax codes by company group |
US20140089151A1 (en) * | 2001-03-23 | 2014-03-27 | Ebay Inc. | System and method for processing tax codes by company group |
US20020143699A1 (en) * | 2001-03-28 | 2002-10-03 | International Business Machines Corporation | System and method for automating invoice processing with positive confirmation |
US8229814B2 (en) | 2001-03-28 | 2012-07-24 | International Business Machines Corporation | System for processing a purchase request for goods or services |
US8027892B2 (en) | 2001-03-28 | 2011-09-27 | International Business Machines Corporation | System and method for automating invoice processing with positive confirmation |
WO2002084434A2 (en) * | 2001-04-13 | 2002-10-24 | American Skandia Life Assurance Corporation | System, method, and computer program product for allocating assets among a plurality of investments to guarantee a predetermined value at the end of a predetermined period |
WO2002084434A3 (en) * | 2001-04-13 | 2003-10-09 | American Skandia Life Assuranc | System, method, and computer program product for allocating assets among a plurality of investments to guarantee a predetermined value at the end of a predetermined period |
US7337134B1 (en) | 2001-04-30 | 2008-02-26 | Teradata Corp. | Shareholder value add for financial processing in a relational database management system |
US8620782B2 (en) | 2001-06-28 | 2013-12-31 | Checkfree Services Corporation | Inter-network electronic billing |
US20090319410A1 (en) * | 2001-06-28 | 2009-12-24 | Checkfree Corporation | Inter-Network Electronic Billing |
US10210488B2 (en) | 2001-06-28 | 2019-02-19 | Checkfree Services Corporation | Inter-network financial service |
US7330831B2 (en) * | 2001-06-29 | 2008-02-12 | Checkfree Corporation | System and method for multiple account single security trading |
US20030154151A1 (en) * | 2001-06-29 | 2003-08-14 | Matthew Biondi | System and method for multiple account single security trading |
US8498913B2 (en) | 2001-07-31 | 2013-07-30 | Ameriprise Financial, Inc. | Portfolio integration module for providing financial planning and advice |
US8306885B2 (en) | 2001-07-31 | 2012-11-06 | Ameriprise Financial, Inc. | Stochastic modeling module for providing financial planning and advice |
US20050010510A1 (en) * | 2001-07-31 | 2005-01-13 | American Express Travel Related Services Company, Inc. | Portfolio reconciler module for providing financial planning and advice |
US8407125B2 (en) | 2001-07-31 | 2013-03-26 | Ameriprise Financial, Inc. | System and method for providing financial planning and advice |
US20030028466A1 (en) * | 2001-07-31 | 2003-02-06 | American Express Travel Related Services Company Inc. | System and method for providing financial planning and advice |
US20050004855A1 (en) * | 2001-07-31 | 2005-01-06 | American Express Travel Related Services Company, Inc. | Simulator module for providing financial planning and advice |
US20050004856A1 (en) * | 2001-07-31 | 2005-01-06 | American Express Travel Related Services Company, Inc. | Stochastic modeling module for providing financial planning and advice |
US20040267651A1 (en) * | 2001-07-31 | 2004-12-30 | American Express Travel Related Services Company, Inc. | Portfolio integration module for providing financial planning and advice |
US7472084B2 (en) | 2001-08-16 | 2008-12-30 | Gravity Investments, Llc | Method and apparatus for creating and managing a visual representation of a portfolio and determining an efficient allocation |
US20030088492A1 (en) * | 2001-08-16 | 2003-05-08 | Damschroder James Eric | Method and apparatus for creating and managing a visual representation of a portfolio and determining an efficient allocation |
US7461025B1 (en) * | 2001-12-10 | 2008-12-02 | Teradata Us, Inc. | Driver amount and count selection processing for financial processing in a relational database management system |
US7418415B1 (en) * | 2001-12-10 | 2008-08-26 | Teredata Us, Inc. | Object-oriented representation of a generic profitability rule for financial processing in a relational database management system |
US7668773B1 (en) | 2001-12-21 | 2010-02-23 | Placemark Investments, Inc. | Portfolio management system |
US20040236653A1 (en) * | 2002-01-03 | 2004-11-25 | Sokolic Jeremy N. | System and method for associating identifiers with data |
US7873677B2 (en) | 2002-01-03 | 2011-01-18 | Cashedge, Inc. | Method and apparatus for retrieving and processing data |
US20050187867A1 (en) * | 2002-01-03 | 2005-08-25 | Sokolic Jeremy N. | System and method for associating identifiers with transactions |
US7203845B2 (en) | 2002-01-11 | 2007-04-10 | Cashedge, Inc. | Multiple trust modes for handling data |
US20030135752A1 (en) * | 2002-01-11 | 2003-07-17 | Sokolic Jeremy N. | Multiple trust modes for handling data |
US7657761B2 (en) | 2002-01-11 | 2010-02-02 | Cashedge, Inc. | Multiple trust modes for handling data |
US20070162769A1 (en) * | 2002-01-11 | 2007-07-12 | Sokolic Jeremy N | Multiple trust modes for handling data |
US7216099B2 (en) | 2002-03-05 | 2007-05-08 | Ibbotson Associates | Automatically allocating and rebalancing discretionary portfolios |
US20030172018A1 (en) * | 2002-03-05 | 2003-09-11 | Ibbotson Associates, Inc. | Automatically allocating and rebalancing discretionary portfolios |
US7680747B2 (en) * | 2002-03-14 | 2010-03-16 | Intuit Inc. | Cash generation from portfolio disposition using multi objective genetic algorithms |
US20030177084A1 (en) * | 2002-03-14 | 2003-09-18 | Cassani Michael J. | Charitable investment fund |
US20040249735A1 (en) * | 2002-03-14 | 2004-12-09 | Cassani Michael Joseph | Charitable investment fund |
US20040128219A1 (en) * | 2002-03-14 | 2004-07-01 | Hilton Kenneth W. | Cash generation from portfolio disposition using genetic algorithms |
US8200561B1 (en) * | 2002-03-29 | 2012-06-12 | Financial Engines, Inc. | Tax-aware asset allocation |
US8374951B2 (en) | 2002-04-10 | 2013-02-12 | Research Affiliates, Llc | System, method, and computer program product for managing a virtual portfolio of financial objects |
US7346569B2 (en) | 2002-04-10 | 2008-03-18 | Richard E. Oberuc | Method and apparatus for producing time variant asset allocation |
WO2003091927A1 (en) * | 2002-04-10 | 2003-11-06 | Burlington Hall Asset Management, Inc. | Method and apparatus for producing asset allocation |
US8374937B2 (en) | 2002-04-10 | 2013-02-12 | Research Affiliates, Llc | Non-capitalization weighted indexing system, method and computer program product |
US8694402B2 (en) * | 2002-06-03 | 2014-04-08 | Research Affiliates, Llc | Using accounting data based indexing to create a low volatility portfolio of financial objects |
US8005740B2 (en) | 2002-06-03 | 2011-08-23 | Research Affiliates, Llc | Using accounting data based indexing to create a portfolio of financial objects |
USRE44098E1 (en) | 2002-06-03 | 2013-03-19 | Research Affiliates, Llc | Using accounting data based indexing to create a portfolio of assets |
US8374939B2 (en) | 2002-06-03 | 2013-02-12 | Research Affiliates, Llc | System, method and computer program product for selecting and weighting a subset of a universe to create an accounting data based index and portfolio of financial objects |
USRE44362E1 (en) | 2002-06-03 | 2013-07-09 | Research Affiliates, Llc | Using accounting data based indexing to create a portfolio of financial objects |
US8380604B2 (en) | 2002-06-03 | 2013-02-19 | Research Affiliates, Llc | System, method and computer program product for using a non-price accounting data based index to determine financial objects to purchase or to sell |
US8589276B2 (en) | 2002-06-03 | 2013-11-19 | Research Afiliates, LLC | Using accounting data based indexing to create a portfolio of financial objects |
US7120601B2 (en) | 2002-06-18 | 2006-10-10 | Ibbotson Associates, Inc. | Optimal asset allocation during retirement in the presence of fixed and variable immediate life annuities (payout annuities) |
US20030233301A1 (en) * | 2002-06-18 | 2003-12-18 | Ibbotson Associates, Inc. | Optimal asset allocation during retirement in the presence of fixed and variable immediate life annuities (payout annuities) |
US20040073505A1 (en) * | 2002-10-09 | 2004-04-15 | James Foley Wright | Method for performing monte carlo risk analysis of business scenarios |
US20040088236A1 (en) * | 2002-10-31 | 2004-05-06 | Manning Kathleen E. | Method and apparatus for investment consulting, benefit projection and investment analysis |
US20040117236A1 (en) * | 2002-12-13 | 2004-06-17 | Dharmashankar Subramanian | Automated optimization tool for electric utility sypply services |
US7124105B2 (en) | 2003-01-22 | 2006-10-17 | Intuit Inc. | Cash flow optimization using a genetic algorithm |
US20040143524A1 (en) * | 2003-01-22 | 2004-07-22 | Hilton Kenneth W. | Cash flow optimization using a genetic algorithm |
US7756787B1 (en) | 2003-01-22 | 2010-07-13 | Intuit Inc. | Bill payment optimization using a genetic algorithm |
US8244576B2 (en) | 2003-01-23 | 2012-08-14 | Accenture Global Services Limited | Calculating the benefit of an investment in training |
US20040148216A1 (en) * | 2003-01-23 | 2004-07-29 | Accenture Global Services Gmbh | Calculating the benefit of an investment in training |
US20040199448A1 (en) * | 2003-03-19 | 2004-10-07 | Chalermkraivuth Kete Charles | Methods and systems for analytical-based multifactor multiobjective portfolio risk optimization |
US20040186814A1 (en) * | 2003-03-19 | 2004-09-23 | Chalermkraivuth Kete Charles | Methods and systems for analytical-based multifactor multiobjective portfolio risk optimization |
US20040186804A1 (en) * | 2003-03-19 | 2004-09-23 | Anindya Chakraborty | Methods and systems for analytical-based multifactor multiobjective portfolio risk optimization |
US7640201B2 (en) | 2003-03-19 | 2009-12-29 | General Electric Company | Methods and systems for analytical-based multifactor Multiobjective portfolio risk optimization |
US7593880B2 (en) | 2003-03-19 | 2009-09-22 | General Electric Company | Methods and systems for analytical-based multifactor multiobjective portfolio risk optimization |
US20050027632A1 (en) * | 2003-07-31 | 2005-02-03 | Ubs Financial Services, Inc. | Financial investment advice system and method |
US7844516B1 (en) | 2003-08-20 | 2010-11-30 | Teradata Us, Inc. | Future value propensity for life-time value financial processing in a relational database management system |
US7844526B1 (en) | 2003-08-20 | 2010-11-30 | Teradata Us, Inc. | Net present value attrition for Life-Time Value financial processing in a relational database management system |
US7835959B1 (en) | 2003-08-20 | 2010-11-16 | Teradata Us, Inc. | Future value attrition for life-time value financial processing in a relational database management system |
US7835958B1 (en) | 2003-08-20 | 2010-11-16 | Teradata Us, Inc. | Life-time value financial processing in a relational database management system |
US7844515B1 (en) | 2003-08-20 | 2010-11-30 | Teradata Us, Inc. | Net present value forecast for life-time value financial processing in a relational database management system |
US7860774B1 (en) * | 2003-10-31 | 2010-12-28 | Charles Schwab & Co., Inc. | System and method for providing financial advice for an investment portfolio |
US7792719B2 (en) | 2004-02-04 | 2010-09-07 | Research Affiliates, Llc | Valuation indifferent non-capitalization weighted index and portfolio |
US7630928B2 (en) | 2004-02-20 | 2009-12-08 | General Electric Company | Systems and methods for multi-objective portfolio analysis and decision-making using visualization techniques |
US8126795B2 (en) | 2004-02-20 | 2012-02-28 | General Electric Company | Systems and methods for initial sampling in multi-objective portfolio analysis |
US20050187848A1 (en) * | 2004-02-20 | 2005-08-25 | Bonissone Piero P. | Systems and methods for efficient frontier supplementation in multi-objective portfolio analysis |
US7469228B2 (en) | 2004-02-20 | 2008-12-23 | General Electric Company | Systems and methods for efficient frontier supplementation in multi-objective portfolio analysis |
US20050187847A1 (en) * | 2004-02-20 | 2005-08-25 | Bonissone Piero P. | Systems and methods for multi-objective portfolio analysis and decision-making using visualization techniques |
US20050187844A1 (en) * | 2004-02-20 | 2005-08-25 | Kete Charles Chalermkraivuth | Systems and methods for multi-objective portfolio optimization |
US8219477B2 (en) | 2004-02-20 | 2012-07-10 | General Electric Company | Systems and methods for multi-objective portfolio analysis using pareto sorting evolutionary algorithms |
US20050187846A1 (en) * | 2004-02-20 | 2005-08-25 | Subbu Rajesh V. | Systems and methods for multi-objective portfolio analysis using pareto sorting evolutionary algorithms |
US20050187849A1 (en) * | 2004-02-20 | 2005-08-25 | Srinivas Bollapragada | Systems and methods for initial sampling in multi-objective portfolio analysis |
US7542932B2 (en) | 2004-02-20 | 2009-06-02 | General Electric Company | Systems and methods for multi-objective portfolio optimization |
US8001029B2 (en) * | 2004-03-26 | 2011-08-16 | Ubs Ag | Method and computer program for tax sensitive investment portfolio management |
US20050234793A1 (en) * | 2004-03-26 | 2005-10-20 | Renato Staub | Method and computer program for tax sensitive investment portfolio management |
US20050278198A1 (en) * | 2004-06-09 | 2005-12-15 | Darren Huxol | Methods and systems for managing a portfolio of insurance products |
US20050283419A1 (en) * | 2004-06-22 | 2005-12-22 | Schaub Benson L | System and method for maximizing after-tax income using split method charitable remainder trusts |
US20060020535A1 (en) * | 2004-07-20 | 2006-01-26 | Dr. George Pieczenik | Insurance for dollar equivalent stock certificates |
US8583529B2 (en) | 2004-10-08 | 2013-11-12 | Mark Greenstein | Method of purchasing a product to avoid adverse selection |
US20060080147A1 (en) * | 2004-10-08 | 2006-04-13 | Mark Greenstein | Method of purchasing a product to avoid adverse selection |
US20060195398A1 (en) * | 2005-02-04 | 2006-08-31 | Sanjeev Dheer | Method and apparatus for processing payment requests |
US20100010838A1 (en) * | 2005-06-22 | 2010-01-14 | Schaub Benson L | System and method for maximizing after-tax income using split method charitable remainder trusts |
US20090094171A1 (en) * | 2005-06-22 | 2009-04-09 | Schaub Benson L | System and method for maximizing after-tax income using split method charitable remainder trusts |
US20090094170A1 (en) * | 2005-09-02 | 2009-04-09 | Anne Mercier Mohn | Methods and systems for financial account management |
US20070055708A1 (en) * | 2005-09-07 | 2007-03-08 | Ncr Corporation | Processing formulae in rules for profitability calculations for financial processing in a relational database management system |
US20070067239A1 (en) * | 2005-09-19 | 2007-03-22 | Cashedge, Inc. | Method and Apparatus for Transferring Financial Information |
US20070100748A1 (en) * | 2005-10-19 | 2007-05-03 | Sanjeev Dheer | Multi-channel transaction system for transferring assets between accounts at different financial institutions |
US7818240B2 (en) * | 2005-11-21 | 2010-10-19 | Eaton Vance Management | Tax managed buy-write fund |
US20080294574A1 (en) * | 2005-11-21 | 2008-11-27 | Hawkes James B | Tax managed buy-write fund |
US8626626B2 (en) | 2006-01-09 | 2014-01-07 | Interest Capturing Systems, Llc | Method of and system for capturing interest earned on the monetary value of transferred monetary rights managed on an internet-based monetary rights transfer (MRT) network supported by a real-time gross settlement (RTGS) system |
US20070233590A1 (en) * | 2006-01-09 | 2007-10-04 | Hardison Joseph H Iii | Internet-based method of and system for transfering and exercising monetary rights within a marketplace |
US20070162369A1 (en) * | 2006-01-09 | 2007-07-12 | Hardison Joseph H Iii | Internet-based method of and system for transfering and exercising monetary rights within a financial marketplace |
US8401949B1 (en) | 2006-12-12 | 2013-03-19 | Goldman, Sachs & Co. | Method, system and apparatus for wealth management |
US20080168003A1 (en) * | 2007-01-10 | 2008-07-10 | Wald Thomas Robert | System and method for securitizing zero coupon bond and equity index portfolios in a target date exchange traded fund |
US8078604B2 (en) | 2007-03-19 | 2011-12-13 | Microsoft Corporation | Identifying executable scenarios in response to search queries |
US20080235229A1 (en) * | 2007-03-19 | 2008-09-25 | Microsoft Corporation | Organizing scenario-related information and controlling access thereto |
US7797311B2 (en) | 2007-03-19 | 2010-09-14 | Microsoft Corporation | Organizing scenario-related information and controlling access thereto |
US20080235170A1 (en) * | 2007-03-19 | 2008-09-25 | Microsoft Corporation | Using scenario-related metadata to direct advertising |
US7818341B2 (en) * | 2007-03-19 | 2010-10-19 | Microsoft Corporation | Using scenario-related information to customize user experiences |
US20080235206A1 (en) * | 2007-03-19 | 2008-09-25 | Microsoft Corporation | Using scenario-related information to customize user experiences |
US20080288400A1 (en) * | 2007-04-27 | 2008-11-20 | Cashedge, Inc. | Centralized Payment Method and System for Online and Offline Transactions |
US8874480B2 (en) | 2007-04-27 | 2014-10-28 | Fiserv, Inc. | Centralized payment method and system for online and offline transactions |
US20080301023A1 (en) * | 2007-05-02 | 2008-12-04 | Cashedge, Inc. | Multi-Channel and Cross-Channel Account Opening |
US20090125370A1 (en) * | 2007-11-08 | 2009-05-14 | Genetic Finance Holdings Limited | Distributed network for performing complex algorithms |
US8918349B2 (en) | 2007-11-08 | 2014-12-23 | Genetic Finance (Barbados) Limited | Distributed network for performing complex algorithms |
US8825560B2 (en) | 2007-11-08 | 2014-09-02 | Genetic Finance (Barbados) Limited | Distributed evolutionary algorithm for asset management and trading |
US20100030687A1 (en) * | 2008-01-18 | 2010-02-04 | Cashedge, Inc. | Real-Time Settlement of Financial Transactions Using Electronic Fund Transfer Networks |
US8156030B2 (en) | 2008-04-03 | 2012-04-10 | Gravity Investments Llc | Diversification measurement and analysis system |
US20090292648A1 (en) * | 2008-04-03 | 2009-11-26 | James Eric Damschroder | Diversification measurement and analysis system |
US20090276359A1 (en) * | 2008-04-24 | 2009-11-05 | Cashedge, Inc. | Multi-Product-Multi-Channel Payment Platform System and Method |
US20100042538A1 (en) * | 2008-08-18 | 2010-02-18 | Sanjeev Dheer | Money Movement Network Method |
US9734215B2 (en) | 2008-11-07 | 2017-08-15 | Sentient Technologies (Barbados) Limited | Data mining technique with experience-layered gene pool |
US9684875B1 (en) | 2008-11-07 | 2017-06-20 | Sentient Technologies (Barbados) Limited | Data mining technique with experience-layered gene pool |
US8909570B1 (en) | 2008-11-07 | 2014-12-09 | Genetic Finance (Barbados) Limited | Data mining technique with experience-layered gene pool |
US8527433B2 (en) * | 2009-04-28 | 2013-09-03 | Genetic Finance (Barbados) Limited | Distributed evolutionary algorithm for asset management and trading |
US8768811B2 (en) | 2009-04-28 | 2014-07-01 | Genetic Finance (Barbados) Limited | Class-based distributed evolutionary algorithm for asset management and trading |
US20100274742A1 (en) * | 2009-04-28 | 2010-10-28 | Genetic Finance Holdings Limited AMS Trustees Limited | Distributed evolutionary algorithm for asset management and trading |
US20100274736A1 (en) * | 2009-04-28 | 2010-10-28 | Genetic Finance Holdings Limited, AMS Trustees Limited | Class-based distributed evolutionary algorithm for asset management and trading |
US8255296B2 (en) | 2009-06-11 | 2012-08-28 | Interest Capturing Systems, Llc | System for implementing a security issuer rights management process over a distributed communications network, deployed in a financial marketplace |
US8589261B2 (en) | 2009-06-11 | 2013-11-19 | Interest Capturing Systems, Llc | System for implementing a security issuer rights management process over a distributed communications network deployed in a financial marketplace |
US20110040581A1 (en) * | 2009-08-17 | 2011-02-17 | Hartford Fire Insurance Company | Life span solution-based modeling |
US20110213707A1 (en) * | 2010-03-01 | 2011-09-01 | Fiserv, Inc. | Systems and methods for facilitating person-to-person payments |
TWI503777B (en) * | 2010-05-17 | 2015-10-11 | Sentient Technologies Barbados Ltd | Distributed evolutionary algorithm for asset management and trading |
US9367816B1 (en) | 2011-07-15 | 2016-06-14 | Sentient Technologies (Barbados) Limited | Data mining technique with induced environmental alteration |
US9710764B1 (en) | 2011-07-15 | 2017-07-18 | Sentient Technologies (Barbados) Limited | Data mining technique with position labeling |
US8977581B1 (en) | 2011-07-15 | 2015-03-10 | Sentient Technologies (Barbados) Limited | Data mining technique with diversity promotion |
US9304895B1 (en) | 2011-07-15 | 2016-04-05 | Sentient Technologies (Barbados) Limited | Evolutionary technique with n-pool evolution |
US10025700B1 (en) | 2012-07-18 | 2018-07-17 | Sentient Technologies (Barbados) Limited | Data mining technique with n-Pool evolution |
US8626659B1 (en) | 2012-09-28 | 2014-01-07 | Fiserv, Inc. | Facilitating presentation of content relating to a financial transaction |
US10657502B2 (en) | 2012-12-31 | 2020-05-19 | Fiserv, Inc. | Systems and methods for performing financial transactions |
US20150081495A1 (en) * | 2013-09-19 | 2015-03-19 | Barclays Bank Plc | System and Method for Account Succession |
US11531972B2 (en) * | 2014-01-28 | 2022-12-20 | Six Trees Capital LLC | System and method for automated optimization of financial assets |
US11288579B2 (en) | 2014-01-28 | 2022-03-29 | Cognizant Technology Solutions U.S. Corporation | Training and control system for evolving solutions to data-intensive problems using nested experience-layered individual pool |
US20220284409A1 (en) * | 2014-01-28 | 2022-09-08 | Six Trees Capital LLC | System and method for automated optimization of financial assets |
US10268953B1 (en) | 2014-01-28 | 2019-04-23 | Cognizant Technology Solutions U.S. Corporation | Data mining technique with maintenance of ancestry counts |
US10185946B2 (en) | 2014-12-31 | 2019-01-22 | Fiserv, Inc. | Facilitating presentation of content relating to a financial transaction |
US11663492B2 (en) | 2015-06-25 | 2023-05-30 | Cognizant Technology Solutions | Alife machine learning system and method |
US11151147B1 (en) | 2015-09-01 | 2021-10-19 | Cognizant Technology Solutions U.S. Corporation | Data mining management server |
US10430429B2 (en) | 2015-09-01 | 2019-10-01 | Cognizant Technology Solutions U.S. Corporation | Data mining management server |
US10956823B2 (en) | 2016-04-08 | 2021-03-23 | Cognizant Technology Solutions U.S. Corporation | Distributed rule-based probabilistic time-series classifier |
US11281978B2 (en) | 2016-04-08 | 2022-03-22 | Cognizant Technology Solutions U.S. Corporation | Distributed rule-based probabilistic time-series classifier |
US11574202B1 (en) | 2016-05-04 | 2023-02-07 | Cognizant Technology Solutions U.S. Corporation | Data mining technique with distributed novelty search |
US11250328B2 (en) | 2016-10-26 | 2022-02-15 | Cognizant Technology Solutions U.S. Corporation | Cooperative evolution of deep neural network structures |
US11250327B2 (en) | 2016-10-26 | 2022-02-15 | Cognizant Technology Solutions U.S. Corporation | Evolution of deep neural network structures |
US11403532B2 (en) | 2017-03-02 | 2022-08-02 | Cognizant Technology Solutions U.S. Corporation | Method and system for finding a solution to a provided problem by selecting a winner in evolutionary optimization of a genetic algorithm |
US10744372B2 (en) * | 2017-03-03 | 2020-08-18 | Cognizant Technology Solutions U.S. Corporation | Behavior dominated search in evolutionary search systems |
US11247100B2 (en) * | 2017-03-03 | 2022-02-15 | Cognizant Technology Solutions U.S. Corporation | Behavior dominated search in evolutionary search systems |
US20180250554A1 (en) * | 2017-03-03 | 2018-09-06 | Sentient Technologies (Barbados) Limited | Behavior Dominated Search in Evolutionary Search Systems |
US11507844B2 (en) | 2017-03-07 | 2022-11-22 | Cognizant Technology Solutions U.S. Corporation | Asynchronous evaluation strategy for evolution of deep neural networks |
US11281977B2 (en) | 2017-07-31 | 2022-03-22 | Cognizant Technology Solutions U.S. Corporation | Training and control system for evolving solutions to data-intensive problems using epigenetic enabled individuals |
US11250314B2 (en) | 2017-10-27 | 2022-02-15 | Cognizant Technology Solutions U.S. Corporation | Beyond shared hierarchies: deep multitask learning through soft layer ordering |
US11182677B2 (en) | 2017-12-13 | 2021-11-23 | Cognizant Technology Solutions U.S. Corporation | Evolving recurrent networks using genetic programming |
US11030529B2 (en) | 2017-12-13 | 2021-06-08 | Cognizant Technology Solutions U.S. Corporation | Evolution of architectures for multitask neural networks |
US11003994B2 (en) | 2017-12-13 | 2021-05-11 | Cognizant Technology Solutions U.S. Corporation | Evolutionary architectures for evolution of deep neural networks |
US11527308B2 (en) | 2018-02-06 | 2022-12-13 | Cognizant Technology Solutions U.S. Corporation | Enhanced optimization with composite objectives and novelty-diversity selection |
US11574201B2 (en) | 2018-02-06 | 2023-02-07 | Cognizant Technology Solutions U.S. Corporation | Enhancing evolutionary optimization in uncertain environments by allocating evaluations via multi-armed bandit algorithms |
US11755979B2 (en) | 2018-08-17 | 2023-09-12 | Evolv Technology Solutions, Inc. | Method and system for finding a solution to a provided problem using family tree based priors in Bayesian calculations in evolution based optimization |
US11481639B2 (en) | 2019-02-26 | 2022-10-25 | Cognizant Technology Solutions U.S. Corporation | Enhanced optimization with composite objectives and novelty pulsation |
US11669716B2 (en) | 2019-03-13 | 2023-06-06 | Cognizant Technology Solutions U.S. Corp. | System and method for implementing modular universal reparameterization for deep multi-task learning across diverse domains |
US11783195B2 (en) | 2019-03-27 | 2023-10-10 | Cognizant Technology Solutions U.S. Corporation | Process and system including an optimization engine with evolutionary surrogate-assisted prescriptions |
US11775841B2 (en) | 2020-06-15 | 2023-10-03 | Cognizant Technology Solutions U.S. Corporation | Process and system including explainable prescriptions through surrogate-assisted evolution |
Also Published As
Publication number | Publication date |
---|---|
AU2214300A (en) | 2000-07-31 |
WO2000039734A1 (en) | 2000-07-06 |
WO2000039734A9 (en) | 2000-11-30 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US6240399B1 (en) | System and method for optimizing investment location | |
US8788392B2 (en) | Mortgage and education financial optimization | |
Korteweg | Risk adjustment in private equity returns | |
US7047217B1 (en) | Computerized system and method for optimizing after-tax proceeds involving options | |
US7577597B1 (en) | System for financial planning | |
US8306885B2 (en) | Stochastic modeling module for providing financial planning and advice | |
US7860774B1 (en) | System and method for providing financial advice for an investment portfolio | |
US6832209B1 (en) | Method and apparatus for tax-efficient investment using both long and short positions | |
US20020082965A1 (en) | Method, system and computer program for auditing financial plans | |
Mulvey et al. | Asset and liability management systems for long-term investors: discussion of the issues | |
Skancke | 12 Fiscal Policy and Petroleum Fund Management in Norway | |
Livingston | Skewness, cryptocurrency, and peer-to-peer loans: an asset allocation exercise for a unique student-managed fund | |
Shemetov | Some financial problems in the light of EMM results: Asset pricing and efficient portfolio allocation | |
García Pardo | Portfolio optimization in cryptocurrencies: a comparison of deep reinforcement learning and traditional approaches | |
Ameer et al. | A superior active portfolio optimization model for stock exchange | |
Becker | Theoretical and practical market efficiency of leading cryptocurrencies | |
Guéniche et al. | Price contingent and price-volume contingent portfolio strategies | |
Volkov et al. | Accounting-based valuations and market prices of equity: Case of Russian market | |
Sick et al. | Some important issues involving real options | |
Knudsen | Value and Momentum Investing | |
Avriel et al. | Opti-money at Bank Hapoalim: A model-based investment decision-support system for individual customers | |
Ogutu | The effect of portfolio optimization on the returns of listed companies at the Nairobi Securities Exchange | |
Ghirdari | International Bond Market Portfolio Diversification in an Emerging Financial Market | |
Heching et al. | Applications of OR to Finance | |
Dal et al. | Representation Faithfulness of Investment Property in Real Estate Companies |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
AS | Assignment |
Owner name: WHITTAKER, JAY, MASSACHUSETTS Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:KELLER, ROBERT;REEL/FRAME:010256/0064 Effective date: 19990729 Owner name: FRANK,GLENN, MASSACHUSETTS Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:KELLER, ROBERT;REEL/FRAME:010256/0064 Effective date: 19990729 |
|
STCF | Information on status: patent grant |
Free format text: PATENTED CASE |
|
FPAY | Fee payment |
Year of fee payment: 4 |
|
REMI | Maintenance fee reminder mailed | ||
FPAY | Fee payment |
Year of fee payment: 8 |
|
SULP | Surcharge for late payment |
Year of fee payment: 7 |
|
FPAY | Fee payment |
Year of fee payment: 12 |